Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

The deep clustering algorithm based on multi-level feature fusion is widely used in image processing, natural language processing, social network analysis, finance, healthcare and other fields.

Anomaly detection using a deep neural autoencoder is not a well-known technique. An advantage of using a neural technique compared to a standard clustering technique is that neural techniques can ...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses ...